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researcher

Yue Zhou

8 papers hereh-index 4143 citations8 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author6
  • middle author2

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.LG3
  • cs.CL2
  • cs.CV2
  • cs.AI1
same name
  • Yue Zhou — 48 papers, h 16
  • Yue Zhou — 12 papers, h 7
  • Yue Zhou — 10 papers, h 5
  • Yue Zhou — 9 papers, h 6
  • Yue Zhou — 8 papers, h 4
  • Yue Zhou — 6 papers, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedA Survey on Data Augmentation in Large Model Era

7 citations · 9 across the 8 of their papers we have counts for

collaborators
Showing 2025Show all

4 papers · 1 filter

cs.LG2025

Resolving Conflicts in Lifelong Learning via Aligning Updates in Subspaces

Yueer Zhou, Yichen Wu, Ying Wei

Low-Rank Adaptation (LoRA) enables efficient Continual Learning but often suffers from catastrophic forgetting due to destructive interference between tasks. Our analysis reveals t…

cs.AI2025

ConfProBench: A Confidence Evaluation Benchmark for MLLM-Based Process Judges

Yue Zhou, Yi Chang, Yuan Wu

Reasoning is a critical capability of multimodal large language models (MLLMs) for solving complex multimodal tasks, and judging the correctness of reasoning steps is crucial for i…

cs.CV2025★ 1 cited

MotionStreamer: Streaming Motion Generation via Diffusion-based Autoregressive Model in Causal Latent Space

Lixing Xiao, Shunlin Lu, Huaijin Pi +7

This paper addresses the challenge of text-conditioned streaming motion generation, which requires us to predict the next-step human pose based on variable-length historical motion…

cs.CL2025★ 1 cited

Mixup Model Merge: Enhancing Model Merging Performance through Randomized Linear Interpolation

Yue Zhou, Yi Chang, Yuan Wu

Model merging aims to integrate multiple task-specific models into a unified model that inherits the capabilities of the task-specific models, without additional training. Existing…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.